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Using electronic patient records to assess the effect of a complex antenatal intervention in a cluster randomised controlled trial—data management experience from the DESiGN Trial team

Research output: Contribution to journalArticlepeer-review

on behalf of the DESIGN Trial team

Original languageEnglish
Article number195
JournalTrials
Volume22
Issue number1
DOIs
PublishedDec 2021

Bibliographical note

Funding Information: Dharmintra Pasupathy was funded by Tommy’s Charity. Andrew Healey and Jane Sandall are supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital NHS Foundation Trust. Deborah A Lawlor’s contribution is supported by the NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol and she is an NIHR Senior Investigator (NF-SI-0611-10196). MCV was supported by a Science Without Borders Fellowship from CAPES (BEX: 9571/13-2). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. Funding Information: The DESiGN trial was funded by the Guy’s and St Thomas’ Charity, the Stillbirth and Neonatal Death charity (Sands) and Tommy’s Charity. Funding Information: We wish to thank the members of the DESiGN Trial team for their collaboration on this trial: Kirstie Coxon (Faculty of Health, Social Care and Education, Kingston and St. George?s University), Andrew Healey (Department of Health Service and Population Research, King?s College London), Alessandro Alagna (Lay representative, Guy?s and St Thomas? Charity), Annette Briley (Department of Women and Children?s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King?s College London), Mark Johnson (Department of Surgery and Cancer, Imperial College London), Christoph Lees (Department of Surgery and Cancer, Imperial College London), Neil Marlow (UCL Institute for Women?s Health, University College London), Lesley McCowan (Faculty of Medical and Health Sciences, University of Auckland), Louise Page (West Middlesex University Hospital, Chelsea & Westminster Hospital NHS Foundation Trust), Donald Peebles (UCL Institute for Women?s Health, University College London), Andrew Shennan (Department of Women and Children?s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King?s College London), Basky Thilaganathan (Molecular & Clinical Sciences Research Institute, St George?s, University of London). Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

King's Authors

Abstract

Background: The use of electronic patient records for assessing outcomes in clinical trials is a methodological strategy intended to drive faster and more cost-efficient acquisition of results. The aim of this manuscript was to outline the data collection and management considerations of a maternity and perinatal clinical trial using data from electronic patient records, exemplifying the DESiGN Trial as a case study. Methods: The DESiGN Trial is a cluster randomised control trial assessing the effect of a complex intervention versus standard care for identifying small for gestational age foetuses. Data on maternal/perinatal characteristics and outcomes including infants admitted to neonatal care, parameters from foetal ultrasound and details of hospital activity for health-economic evaluation were collected at two time points from four types of electronic patient records held in 22 different electronic record systems at the 13 research clusters. Data were pseudonymised on site using a bespoke Microsoft Excel macro and securely transferred to the central data store. Data quality checks were undertaken. Rules for data harmonisation of the raw data were developed and a data dictionary produced, along with rules and assumptions for data linkage of the datasets. The dictionary included descriptions of the rationale and assumptions for data harmonisation and quality checks. Results: Data were collected on 182,052 babies from 178,350 pregnancies in 165,397 unique women. Data availability and completeness varied across research sites; each of eight variables which were key to calculation of the primary outcome were completely missing in median 3 (range 1–4) clusters at the time of the first data download. This improved by the second data download following clarification of instructions to the research sites (each of the eight key variables were completely missing in median 1 (range 0–1) cluster at the second time point). Common data management challenges were harmonising a single variable from multiple sources and categorising free-text data, solutions were developed for this trial. Conclusions: Conduct of clinical trials which use electronic patient records for the assessment of outcomes can be time and cost-effective but still requires appropriate time and resources to maximise data quality. A difficulty for pregnancy and perinatal research in the UK is the wide variety of different systems used to collect patient data across maternity units. In this manuscript, we describe how we managed this and provide a detailed data dictionary covering the harmonisation of variable names and values that will be helpful for other researchers working with these data. Trial registration: Primary registry and trial identifying number: ISRCTN 67698474. Registered on 02/11/16.

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